Shiry Ginosar

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Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
Caroline ChanPhD student in EECS at MITVerified email at mit.edu
Tinghui ZhouPhD student, UC BerkeleyVerified email at berkeley.edu
Jitendra MalikProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Andrew OwensAssistant Professor, University of MichiganVerified email at mit.edu
Amir BarTel Aviv UniversityVerified email at cs.tau.ac.il
Maneesh AgrawalaStanford UniversityVerified email at graphics.stanford.edu
Bjoern HartmannAssociate Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Kate RakellyUC BerkeleyVerified email at eecs.berkeley.edu
Daniel HaasUC BerkeleyVerified email at cs.berkeley.edu
Jake Ryland WilliamsAssistant Professor of Information Science, Drexel UniversityVerified email at drexel.edu
Hanbyul JooAssistant Professor, Seoul National UniversityVerified email at snu.ac.kr
Evonne NgUC BerkeleyVerified email at berkeley.edu
Lefteris Jason AnastasopoulosUniversity of GeorgiaVerified email at uga.edu
Wesley WillettUniversity of CalgaryVerified email at ucalgary.ca
Noah SnavelyAssociate Professor, Cornell University and Researcher at Google ResearchVerified email at cs.cornell.edu
Andrew LiuGoogleVerified email at google.com
Mathieu AubryResearcher, LIGM-Imagine, ENPCVerified email at imagine.enpc.fr
Xi ShenTencent AIVerified email at tencent.com

Shiry Ginosar

Postdoctoral Scholar, Computer Science Division, University of California, Berkeley

Verified email at eecs.berkeley.edu - Homepage

Computer Science Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Everybody dance now C Chan, S Ginosar, T Zhou, AA Efros Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	534	2019
Improving accessibility of the web with a computer game L Von Ahn, S Ginosar, M Kedia, R Liu, M Blum Proceedings of the SIGCHI conference on Human Factors in computing systems …, 2006	231	2006
Learning Individual Styles of Conversational Gesture S Ginosar, A Bar, G Kohavi, C Chan, A Owens, J Malik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	134	2019
Improving image search with phetch L Von Ahn, S Ginosar, M Kedia, M Blum 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007	85	2007
A century of portraits: A visual historical record of american high school yearbooks S Ginosar, K Rakelly, S Sachs, B Yin, AA Efros Proceedings of the IEEE International Conference on Computer Vision …, 2015	72	2015
Detecting people in cubist art S Ginosar, D Haas, T Brown, J Malik European Conference on Computer Vision, 101-116, 2014	51	2014
Identifying redundancy and exposing provenance in crowdsourced data analysis W Willett, S Ginosar, A Steinitz, B Hartmann, M Agrawala IEEE Transactions on Visualization and Computer Graphics 19 (12), 2198-2206, 2013	36	2013
Authoring multi-stage code examples with editable code histories S Ginosar, LF De Pombo, M Agrawala, B Hartmann Proceedings of the 26th annual ACM symposium on User interface software and …, 2013	22	2013
Body2hands: Learning to infer 3d hands from conversational gesture body dynamics E Ng, S Ginosar, T Darrell, H Joo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	17	2021
Learning to factorize and relight a city A Liu, S Ginosar, T Zhou, AA Efros, N Snavely European Conference on Computer Vision, 544-561, 2020	17	2020
Photographic home styles in Congress: a computer vision approach LJ Anastasopoulos, D Badani, C Lee, S Ginosar, J Williams arXiv preprint arXiv:1611.09942, 2016	11	2016
Political image analysis with deep neural networks LJ Anastasopoulos, D Badani, C Lee, S Ginosar, JR Williams University of Georgia, United States, 2017	6	2017
The burgeoning computer-art symbiosis S Ginosar, X Shen, K Dwivedi, E Honig, M Aubry XRDS: Crossroads, The ACM Magazine for Students 24 (3), 30-33, 2018	4	2018
A study of the use of current speech recognition in an information-intensive task S Ginosar, M Hearst	3	2014
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures M Narasimhan, S Ginosar, A Owens, AA Efros, T Darrell Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	2	2022
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion E Ng, H Joo, L Hu, H Li, T Darrell, A Kanazawa, S Ginosar arXiv preprint arXiv:2204.08451, 2022		2022
Spatially-consistent Feature Matching and Learning for Heritage Image Analysis X Shen, R Champenois, S Ginosar, I Pastrolin, M Rousselot, O Bounou, ... International Journal of Computer Vision, 1-15, 2022		2022
Contrastive Video Textures M Narasimhan, S Ginosar, A Owens, AA Efros, T Darrell		2020
Modeling Visual Minutiae: Gestures, Styles, and Temporal Patterns SS Ginosar University of California, Berkeley, 2020		2020
CrowdAnalytics: Support for Redundancy Clustering and Provenance in Crowdsourced Data Analysis S Ginosar, A Steinitz

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